Evidence map›Paper›PMID 42326859›Full record

ArticleACS measurement science au2026

Structural Lipidomics Uncovers CC Location-Specific Lipid Signatures and the Response to Immune Checkpoint Inhibitor in dMMR/MSI‑H Colorectal Cancer.

Yiwei Tou, Wei Sun, Pai Liu, Jiuyi Sun, Taiyang Ma, Yun-Hong Zhang

Abstract read
In one paragraph

Article in ACS measurement science au, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yiwei TouSchool of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 100081, China.
Wei SunPeking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing 100044, China.
Pai LiuSchool of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 100081, China.ORCID https://orcid.org/0000-0003-2227-9762
Jiuyi SunSchool of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 100081, China.
Taiyang MaSchool of Biomedical Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong 999077, China.ORCID https://orcid.org/0000-0001-6819-9288
Yun-Hong ZhangSchool of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 100081, China.ORCID https://orcid.org/0000-0002-2899-5068

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipidomics offers valuable insights for cancer research. Paternò-Büchi (PB) reaction-based LC-MS/MS enables precise lipid structural resolution at the CC location level. Although mismatch repair-deficient or microsatellite instability-high (dMMR/MSI-H) status predicts anti-PD-1 response in colorectal cancer (CRC), nearly half of the patients do not benefit, underscoring the need for better biomarkers. Here, we applied sequential LC-MS, LC-MS/MS, and LC-PB-MS/MS to profile serum lipids from 58 dMMR/MSI-H CRC patients receiving anti-PD-1 treatment. The resulting lipidomic data were subsequently explored to identify predictive biomarkers for efficacy. We identified 814 glycerophospholipids, 285 of which were resolved at the CC location level. Comparative analyses revealed 56 differential lipids between patients achieving complete response (CR) and progressive disease (PD) before treatment and 214 after therapy (

Indexed as

biomarkerscolorectal cancerdeep structural lipidomicsLC-PB-MS/MSPD-1

Identifiers

PMID42326859
PMCPMC13281199

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.